Jinlei Liu

According to our database, Jinlei Liu authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

EDDM: A Novel ECG Denoising Method Using Dual-Path Diffusion Model.

Zhiyuan Li, Yuanyuan Tian, Yanrui Jin, Xiaoyang Wei, Mengxiao Wang, Jinlei Liu, Chengliang Liu

IEEE Trans. Instrum. Meas., 2025

An early warning method for arrhythmias in long-term ECGs based on self-supervised learning and LSTM.

Zhiyuan Li, Yuanyuan Tian, Yanrui Jin, Xiaoyang Wei, Mengxiao Wang, Jinlei Liu, Liqun Zhao, Chengliang Liu

Knowl. Based Syst., 2025

2024

A novel deep wavelet convolutional neural network for actual ECG signal denoising.

Yanrui Jin, Chengjin Qin, Jinlei Liu, Yunqing Liu, Zhiyuan Li, Chengliang Liu

Biomed. Signal Process. Control., January, 2024

Lightweight Optimization of Deep Learning Models for Accurate Arrhythmia Detection in Clinical 12-Lead ECG Data.

Yunqing Liu, Chengjin Qin, Yuanyuan Tian, Mengxiao Wang, Jinlei Liu, Yanrui Jin, Zhiyuan Li, Liqun Zhao, Chengliang Liu

IEEE Trans. Instrum. Meas., 2024

Differentiated knowledge distillation: Patient-specific single-sample personalization for electrocardiogram diagnostic models.

Xiaoyang Wei, Zhiyuan Li, Yuanyuan Tian, Mengxiao Wang, Jinlei Liu, Yanrui Jin, Weiping Ding, Chengliang Liu

Eng. Appl. Artif. Intell., 2024

M-XAF: Medical explainable diagnosis system of atrial fibrillation based on medical knowledge and semantic representation fusion.

Zhiyuan Li, Yanrui Jin, Yuanyuan Tian, Jinlei Liu, Mengxiao Wang, Xiaoyang Wei, Liqun Zhao, Chengliang Liu

Eng. Appl. Artif. Intell., 2024

Pruned lightweight neural networks for arrhythmia classification with clinical 12-Lead ECGs.

Yunqing Liu, Jinlei Liu, Yuanyuan Tian, Yanrui Jin, Zhiyuan Li, Liqun Zhao, Chengliang Liu

Appl. Soft Comput., 2024

2023

A deep learning-based acute coronary syndrome-related disease classification method: a cohort study for network interpretability and transfer learning.

Yunqing Liu, Jinlei Liu, Chengjin Qin, Yanrui Jin, Zhiyuan Li, Liqun Zhao, Chengliang Liu

Appl. Intell., November, 2023

A novel attentional deep neural network-based assessment method for ECG quality.

Yanrui Jin, Zhiyuan Li, Chengjin Qin, Jinlei Liu, Yunqing Liu, Liqun Zhao, Chengliang Liu

Biomed. Signal Process. Control., 2023

2022

A Novel Interpretable Method Based on Dual-Level Attentional Deep Neural Network for Actual Multilabel Arrhythmia Detection.

Yanrui Jin, Jinlei Liu, Yunqing Liu, Chengjin Qin, Zhiyuan Li, Dengyu Xiao, Liqun Zhao, Chengliang Liu

IEEE Trans. Instrum. Meas., 2022

An efficient neural network-based method for patient-specific information involved arrhythmia detection.

Yunqing Liu, Chengjin Qin, Jinlei Liu, Yanrui Jin, Zhiyuan Li, Chengliang Liu

Knowl. Based Syst., 2022

A novel P-QRS-T wave localization method in ECG signals based on hybrid neural networks.

Jinlei Liu, Yanrui Jin, Yunqing Liu, Zhiyuan Li, Chengjin Qin, Xiaojun Chen, Liqun Zhao, Chengliang Liu

Comput. Biol. Medicine, 2022

2021

A Novel Incremental and Interactive Method for Actual Heartbeat Classification With Limited Additional Labeled Samples.

Yanrui Jin, Chengjin Qin, Jinlei Liu, Zhiyuan Li, Haotian Shi, Ke Lin, Yunqing Liu, Chengliang Liu

IEEE Trans. Instrum. Meas., 2021

Precise and efficient heartbeat classification using a novel lightweight-modified method.

Yunqing Liu, Yanrui Jin, Jinlei Liu, Chengjin Qin, Ke Lin, Haotian Shi, Jianfeng Tao, Liqun Zhao, Chengliang Liu

Biomed. Signal Process. Control., 2021

2020

A novel Domain Adaptive Residual Network for automatic Atrial Fibrillation Detection.

Yanrui Jin, Chengjin Qin, Jinlei Liu, Ke Lin, Haotian Shi, Yixiang Huang, Chengliang Liu

Knowl. Based Syst., 2020